Search results
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Title
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Customer Loyalty Improvement Recommender System (CLIRS)
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Author
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Tarnowska, Katarzyna
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Date Created
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2018
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Subjects--Topical
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Computer science
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Description
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This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
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Title
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Hierarchically Structured Recommender System for Improving NPS
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Author
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Kuang, Jieyan
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Date Created
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2016
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Subjects--Topical
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Computer science, Information technology
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Description
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Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...